Robert A. Beckman
Impact in
- Statistics and Probability top 1%
- Statistical Methods in Clinical Trials
- Cancer Research top 2%
- Cancer Genomics and Diagnostics
Papers in
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- Statistical Methods in Clinical Trials 28
-
- Cancer Genomics and Diagnostics 27
- Co-authors
- Lawrence A. LoebJames R. HeathCong ChenHugh M. DavisLouis M. WeinerAlbert S. MildvanSophia N. YalirakiMauricio Barahona
- Journals
- Journal of Clinical Oncology (8 papers)Statistics in Biopharmaceutical Research (8 papers)Clinical Cancer Research (5 papers)Journal of Biological Chemistry (3 papers)Statistical Methods in Medical Research (3 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Robert A. Beckman
111 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 162
- Statistics and Probability 371
- Cancer Research 662
- Oncology 787
- Molecular Biology 1.8k
- Modeling and Simulation 112
Countries citing papers authored by Robert A. Beckman
This map shows the geographic impact of Robert A. Beckman's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Robert A. Beckman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert A. Beckman more than expected).
Fields of papers citing papers by Robert A. Beckman
This network shows the impact of papers produced by Robert A. Beckman. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Robert A. Beckman. The network helps show where Robert A. Beckman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert A. Beckman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 9 | |
| 6 | 2023 | 5 | |
| 7 | 2023 | 22 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 60 | |
| 10 | 2020 | 7 | |
| 11 | 2020 | 99 | |
| 12 | 2019 | 37 | |
| 13 | 2018 | 14 | |
| 14 | 2016 | 14 | |
| 15 | 2015 | 9 | |
| 16 | 2013 | 74 | |
| 17 | 2013 | 13 | |
| 18 | Readiness, Behavior, and Foundational Mathematics Course Success | 2013 | 3 |
| 19 | 2012 | 60 | |
| 20 | 1995 | 15 |
About Robert A. Beckman
Robert A. Beckman is a scholar working on Statistics and Probability, Cancer Research, Modeling and Simulation, Oncology and Economics and Econometrics, having authored 113 papers that have together received 3.7k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (28 papers), Cancer Genomics and Diagnostics (27 papers), Health Systems, Economic Evaluations, Quality of Life (19 papers), HER2/EGFR in Cancer Research (13 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Lung Cancer Treatments and Mutations (10 papers), Colorectal Cancer Treatments and Studies (8 papers) and Evolution and Genetic Dynamics (8 papers). The work is most often cited by research in Statistics and Probability (371 citations), Cancer Research (662 citations), Oncology (787 citations), Molecular Biology (1.8k citations) and Modeling and Simulation (112 citations). Robert A. Beckman has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Lawrence A. Loeb, James R. Heath, Cong Chen, Hugh M. Davis, Louis M. Weiner, Albert S. Mildvan, Sophia N. Yaliraki, Mauricio Barahona, Michael Diehl and Jason H. Bielas. Their work appears in journals such as Journal of Clinical Oncology, Statistics in Biopharmaceutical Research, Clinical Cancer Research, Journal of Biological Chemistry and Statistical Methods in Medical Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.